base_loader             Base loader
batched_nms             Batched Non-maximum Suppression (NMS)
box_area                Box Area
box_convert             Box Convert
box_cxcywh_to_xyxy      box_cxcywh_to_xyxy
box_iou                 Box IoU
box_xywh_to_xyxy        box_xywh_to_xyxy
box_xyxy_to_cxcywh      box_xyxy_to_cxcywh
box_xyxy_to_xywh        box_xyxy_to_xywh
caltech_classes         Caltech Class Labels
caltech_dataset         Caltech Datasets
cifar10_dataset         CIFAR datasets
clip_boxes_to_image     Clip Boxes to Image
coco_caption_dataset    COCO Caption Dataset
coco_classes            MS COCO Class Labels
coco_detection_dataset
                        COCO Detection Dataset
coco_segmentation_dataset
                        COCO Segmentation Dataset
collection_catalog      Dataset Collection Catalog
draw_bounding_boxes     Draws bounding boxes on image.
draw_keypoints          Draws Keypoints
draw_segmentation_masks
                        Draw segmentation masks
eurosat_dataset         EuroSAT datasets
fer_dataset             FER-2013 Facial Expression Dataset
fgvc_aircraft_dataset   FGVC Aircraft Dataset
flickr_caption_dataset
                        Flickr Caption Datasets
flowers102_dataset      Oxford Flowers 102 Dataset
generalized_box_iou     Generalized Box IoU
get_collection_catalog
                        Get Complete Collection Catalog
image_folder_dataset    Create an image folder dataset
imagenet_classes        ImageNet Class Labels
lfw_dataset             LFW Datasets
list_collection_datasets
                        List Datasets in a Collection
magick_loader           Load an Image using ImageMagick
mnist_dataset           MNIST and Derived Datasets
model_alexnet           AlexNet Model Architecture
model_convnext          ConvNeXt Implementation
model_convnext_detection
                        ConvNeXt Detection Models (Faster R-CNN style)
model_convnext_segmentation
                        ConvNeXt Segmentation Models
model_deeplabv3         DeepLabV3 Semantic Segmentation Models
model_efficientnet      EfficientNet Models
model_efficientnet_v2   EfficientNetV2 Models
model_facenet           MTCNN Face Detection Networks
model_fasterrcnn        Faster R-CNN Models
model_fcn_resnet        Fully Convolutional Network for Semantic
                        Segmentation
model_inception_v3      Inception v3 model
model_maskrcnn          Mask R-CNN Models
model_maxvit            MaxViT Model
model_mobilenet_v2      MobileNetV2 Model
model_mobilenet_v3      MobileNetV3 Model
model_resnet            ResNet implementation
model_vgg               VGG implementation
model_vit               Vision Transformer Implementation
nms                     Non-maximum Suppression (NMS)
oxfordiiitpet_dataset   Oxford-IIIT Pet Classification Datasets
oxfordiiitpet_segmentation_dataset
                        Oxford-IIIT Pet Segmentation Dataset
pascal_voc_classes      Pascal VOC Segmentation Dataset
pascal_voc_datasets     Pascal VOC Datasets
places365_dataset       Places365 Dataset
remove_small_boxes      Remove Small Boxes
rf100_biology_collection
                        RoboFlow 100 Biology dataset Collection
rf100_damage_collection
                        RoboFlow 100 Damages dataset Collection
rf100_document_collection
                        RF100 Document Collection Datasets
rf100_infrared_collection
                        RoboFlow 100 Infrared dataset Collection
rf100_medical_collection
                        RoboFlow 100 Medical dataset Collection
rf100_peixos_segmentation_dataset
                        RF100 Peixos Segmentation Dataset
rf100_underwater_collection
                        RoboFlow 100 Underwater dataset Collection
search_collection       Search Collection Catalog
target_transform_coco_masks
                        Target Transform: COCO Polygon Segmentation to
                        Masks
target_transform_trimap_masks
                        Target Transform: Trimap to Boolean Masks
tensor_image_browse     Display image tensor
tensor_image_display    Display image tensor
tiny_imagenet_dataset   Tiny ImageNet dataset
transform_adjust_brightness
                        Adjust the brightness of an image
transform_adjust_contrast
                        Adjust the contrast of an image
transform_adjust_gamma
                        Adjust the gamma of an RGB image
transform_adjust_hue    Adjust the hue of an image
transform_adjust_saturation
                        Adjust the color saturation of an image
transform_affine        Apply affine transformation on an image keeping
                        image center invariant
transform_center_crop   Crops the given image at the center
transform_color_jitter
                        Randomly change the brightness, contrast and
                        saturation of an image
transform_convert_image_dtype
                        Convert a tensor image to the given 'dtype' and
                        scale the values accordingly
transform_crop          Crop the given image at specified location and
                        output size
transform_five_crop     Crop image into four corners and a central crop
transform_grayscale     Convert image to grayscale
transform_hflip         Horizontally flip a PIL Image or Tensor
transform_linear_transformation
                        Transform a tensor image with a square
                        transformation matrix and a mean_vector
                        computed offline
transform_normalize     Normalize a tensor image with mean and standard
                        deviation
transform_pad           Pad the given image on all sides with the given
                        "pad" value
transform_perspective   Perspective transformation of an image
transform_random_affine
                        Random affine transformation of the image
                        keeping center invariant
transform_random_apply
                        Apply a list of transformations randomly with a
                        given probability
transform_random_choice
                        Apply single transformation randomly picked
                        from a list
transform_random_crop   Crop the given image at a random location
transform_random_erasing
                        Randomly selects a rectangular region in an
                        image and erases its pixel values
transform_random_grayscale
                        Randomly convert image to grayscale with a
                        given probability
transform_random_horizontal_flip
                        Horizontally flip an image randomly with a
                        given probability
transform_random_order
                        Apply a list of transformations in a random
                        order
transform_random_perspective
                        Random perspective transformation of an image
                        with a given probability
transform_random_resized_crop
                        Crop image to random size and aspect ratio
transform_random_rotation
                        Rotate the image by angle
transform_random_vertical_flip
                        Vertically flip an image randomly with a given
                        probability
transform_resize        Resize the input image to the given size
transform_resized_crop
                        Crop an image and resize it to a desired size
transform_rgb_to_grayscale
                        Convert RGB Image Tensor to Grayscale
transform_rotate        Angular rotation of an image
transform_ten_crop      Crop an image and the flipped image each into
                        four corners and a central crop
transform_to_tensor     Convert an image to a tensor
transform_vflip         Vertically flip a PIL Image or Tensor
vggface2_dataset        VGGFace2 Dataset
vision_make_grid        A simplified version of
                        torchvision.utils.make_grid
whoi_plankton_dataset   WHOI Plankton Datasets
whoi_small_coralnet_dataset
                        Coralnet Dataset
